Devops
Best resource for AWS : https://youtu.be/hyEw7dQ9-JE (Freecodecamp)
1.) Foundations (Beginner Level): Programming Skills: Golang (preferred for SRE):--> 1) https://youtube.com/playlist?list=PLRAV69dS1uWQGDQoBYMZWKjzuhCaOnBpa 2) https://youtube.com/playlist?list=PLzMcBGfZo4-mtY_SE3HuzQJzuj4VlUG0q 3) https://youtube.com/playlist?list=PLOXkFCu4E9B_bKbGyAQOS2mVHJ5PNI6nm Secondary Language: Java or C++ (to understand legacy systems) Focus on: -->Writing clean, efficient, and reusable code. -->Using data structures and algorithms (essential for reliability tasks).
1.2 Linux/Unix Fundamentals:--> 1) https://youtu.be/e01GGTKmtpc Master Linux commands --> https://youtu.be/cF-tpknh-64 filesystem https://youtu.be/roES8iAaJEM process management https://youtu.be/LfC6pv8VISk shell scripting https://youtu.be/TtGM9GfBuok
Learn to troubleshoot Linux systems (Use Chatgpt or else other ai tools. Use Documentation for learning practices to fix and running the system.)
Explore Linux distributions used in enterprises (Ubuntu, Red Hat, CentOS). --> Ubuntu should be primary Linux distributions for learning and job. 1.3 Networking Basics
Learn OSI Model, TCP/IP, HTTP/HTTPS, DNS, Load Balancers, and Firewalls. https://youtu.be/IPvYjXCsTg8
Tools to learn: Wireshark (for network analysis) cURL (for testing APIs)
1.4 Version Control Proficiency in Git: Clone, branch, merge, and resolve conflicts. Use Git workflows (e.g., GitFlow). https://youtu.be/apGV9Kg7ics
1.5 Monitoring & Logging Basics https://youtube.com/playlist?list=PLdpzxOOAlwvJUIfwmmVDoPYqXXUNbdBmb ( This covered a lots of topics maybe some matrices related topics missed. Check and learn from docs or youtube) Tools:
Prometheus and Grafana (for metrics)
ELK Stack or Graylog (for logs)
Learn concepts: logs, metrics, traces, and alerts.
- Intermediate Level
2.1 Cloud Computing
Learn major cloud platforms:
AWS: EC2, S3, RDS, Route 53, CloudWatch.
Azure: Compute, Storage, Azure Monitor.
Google Cloud: Compute Engine, GKE, Stackdriver.
Understand:
Cloud networking, IAM policies, and serverless functions.
Multi-cloud and hybrid cloud architectures.
Resources: Use Cantrill or Techworld with Nana or Etc. Primarily use cantrill course.
2.2 Infrastructure as Code (IaC) https://youtu.be/EtEb40LE5zQ Learn tools to automate infrastructure provisioning:
Terraform (essential for SRE roles) https://youtube.com/playlist?list=PLdpzxOOAlwvI0O4PeKVV1-yJoX2AqIWuf
https://youtu.be/7xngnjfIlK4 https://youtu.be/SLB_c_ayRMo
AWS CloudFormation (for AWS) https://youtube.com/playlist?list=PLt1SIbA8guusEAJ80cGX86nLd3k_Aop1M Focus on: Writing and testing IaC templates. Managing infrastructure at scale. 2.3 CI/CD Pipelines Tools:
Jenkins https://youtu.be/XaSdKR2fOU4 https://youtu.be/To-KzPB_EnE https://youtu.be/NVaP8qtLm6Q GitLab CI/CD https://youtu.be/qP8kir2GUgo GitHub Actions https://youtu.be/Tz7FsunBbfQ CircleCI https://youtu.be/H48NyvRuo64
Skills: Build pipelines for automated testing, deployment, and monitoring. Use Blue-Green and Canary deployments.
2.4 Containerization
Master Docker: https://youtu.be/31k6AtW-b3Y https://youtu.be/3c-iBn73dDE https://youtu.be/bhBSlnQcq2k Building, managing, and deploying containers.
Writing Dockerfiles and managing multi-container apps.
Explore container orchestration:
Kubernetes: https://youtu.be/X48VuDVv0do https://youtu.be/2T86xAtR6Fo Learn Pods, Services, Deployments, StatefulSets, and ConfigMaps.
Set up monitoring with Kubernetes dashboards.
2.5 Monitoring & Observability
Advanced usage of: Prometheus, Grafana, and Datadog.
Learn distributed tracing tools:
Jaeger or OpenTelemetry.
Set up alerting rules and incident management pipelines.
- Advanced Level
3.1 Advanced Networking & Security
Advanced Networking:
Overlay Networks, SDN, BGP, VPNs, and NAT.
Load Balancing strategies (Round Robin, IP Hash, etc.).
Security:
Identity management with OAuth2, SAML.
Hands-on with TLS/SSL, firewalls, and intrusion detection tools.
3.2 Distributed Systems & Scalability
Study system design and scalability patterns:
CAP Theorem, Sharding, Consistent Hashing.
Microservices and event-driven architectures.
Tools:
Kafka, RabbitMQ (for messaging queues).
Redis, Memcached (for caching).
3.3 Reliability Engineering
Learn SLOs, SLIs, and SLAs.
Design systems for:
High Availability (HA).
Disaster Recovery (DR) and fault-tolerant systems.
Implement Chaos Engineering (tools like Gremlin, Chaos Monkey).
3.4 Automation
Build automation scripts to handle:
Incident resolution (e.g., auto-scaling, log analysis).
Backup and disaster recovery workflows.
3.5 SRE-Specific Tools
Master these tools:
Ansible, Chef, or Puppet (for configuration management).
Helm (Kubernetes package management).
Istio or Linkerd (for service meshes).
- Expert Level
4.1 Advanced Kubernetes
Operate Kubernetes at scale:
Cluster autoscaling, custom controllers, and CRDs.
Kubernetes Federation for multi-cluster setups.
4.2 Site Reliability Leadership
Build SRE best practices for teams.
Define and improve error budgets and postmortems.
Develop company-wide runbooks and playbooks.
4.3 Advanced Observability
Build end-to-end observability pipelines.
Implement distributed tracing in complex environments.
4.4 Certification
Acquire relevant certifications to validate expertise:
Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD).
AWS Certified DevOps Engineer or equivalent from Azure/GCP.
HashiCorp Terraform Associate.
Advanced SRE certifications (e.g., Google’s SRE Professional Certificate).
4.5 Soft Skills
Develop strong communication skills for incident reporting and stakeholder communication.
Practice leadership and mentorship for junior SREs.
- Build Projects
Beginner:
Deploy a basic web application with Docker and NGINX.
Intermediate:
Set up CI/CD pipelines for a cloud-native application.
Advanced:
Build and manage a Kubernetes cluster with auto-scaling and disaster recovery.
This roadmap ensures you're equipped to handle the challenges of an SRE Associate 3 role while progressing toward becoming an industry expert. Let me know if you'd like further details or resources for any stage!